With the immense computing power at our disposal, the numerical solution of partial differential equations (PDEs) is becoming a day-to-day task for modern computational scientists. However, the complexity of real-life...
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To support highly scalable and fine-grained computing paradigms such as microservices and serverless computing better, modern hardware-assisted confidential computing systems, such as Intel TDX and ARM CCA, introduce ...
To support highly scalable and fine-grained computing paradigms such as microservices and serverless computing better, modern hardware-assisted confidential computing systems, such as Intel TDX and ARM CCA, introduce permission table to achieve fine-grained and scalable memory isolation among different domains. However, it also adds an extra dimension to page walks besides page tables, leading to significantly more memory references (e.g., 4 12 for RISC-V Sv39) 1 . We observe that most costs (about 75%) caused by the extra dimension of page walks are used to validate page table pages. Based on this observation, this paper proposes HPMP (Hybrid Physical Memory Protection), a hardware-software co-design (on RISC-V) that protects page table pages using segment registers and normal pages using permission tables to balance scalability and performance. We have implemented HPMP and Penglai-HPMP (a TEE system based on HPMP) on FPGA with two RISC-V cores (both in-order and out-of-order). Evaluation results show that HPMP can reduce costs by 23.1%–73.1% on BOOM and significantly improve performance on real-world applications, including serverless computing (FunctionBench) and Redis.
One of the most popular methods employed in computational electromagnetics is the Finite Difference Time Domain (FDTD) method. We generalise it to a meshless setting using the Radial Basis Function generated Finite Di...
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The failure atomic and isolated execution of clients operations is a default requirement for a system that serve multiple loosely coupled clients at a server. However, disaggregated memory breaks this requirement in r...
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One of the most popular methods employed in computational electromagnetics is the Finite Difference Time Domain (FDTD) method. We introduce its generalisation to a meshless setting using the Radial Basis Function gene...
One of the most popular methods employed in computational electromagnetics is the Finite Difference Time Domain (FDTD) method. We introduce its generalisation to a meshless setting using the Radial Basis Function generated Finite Difference (RBF-FD) method and investigate its properties on a simple test problem.
Since the advent of mesh-free methods as a tool for the numerical analysis of systems of Partial Differential Equations (PDEs), many variants of differential operator approximation have been proposed. In this work, we...
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Coastal and Regional Ocean Community model (CROCO) is a modeling system used in oceanographic simulations. CROCO solves primitive hydrodynamic equations for momentum, heat and mass transport on a three dimensional, te...
Coastal and Regional Ocean Community model (CROCO) is a modeling system used in oceanographic simulations. CROCO solves primitive hydrodynamic equations for momentum, heat and mass transport on a three dimensional, terrain following grid. Several biogeochemical models are already implemented in CROCO, including the PISCES model, which it borrows from NEMO, a different oceanography modeling system. While PISCES is a highly complex model, used in many oceanographic applications, it lacks variable stoichiometry and some plankton functional types needed in certain applications. On the other hand, Biogeochemical Flux Model (BFM) is a dedicated biogeochemistry modeling system, customizable and of user-defined complexity. It can be run as a standalone model or in conjunction with an oceanographic simulation. Previously we have reported on our work regarding the incorporation of BFM into CROCO. In this work we address the performance aspects of this coupling. Namely, compared to e.g. PISCES, BFM is a much more complex model with more tracers, which makes it more computationally expensive. It is therefore of the essence to investigate, and to highlight possible areas of improvement in this coupling’s computational performance.
Script is the structured knowledge representation of prototypical real-life event *** the commonsense knowledge inside the script can be helpful for machines in understanding natural language and drawing commonsensibl...
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Script is the structured knowledge representation of prototypical real-life event *** the commonsense knowledge inside the script can be helpful for machines in understanding natural language and drawing commonsensible *** learning is an interesting and promising research direction,in which a trained script learning system can process narrative texts to capture script knowledge and draw ***,there are currently no survey articles on script learning,so we are providing this comprehensive survey to deeply investigate the standard framework and the major research topics on script *** research field contains three main topics:event representations,script learning models,and evaluation *** each topic,we systematically summarize and categorize the existing script learning systems,and carefully analyze and compare the advantages and disadvantages of the representative *** also discuss the current state of the research and possible future directions.
In this paper, we address a way to reduce the total computational cost of meshless approximation by reducing the required stencil size through spatially varying computational node regularity. Rather than covering the ...
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Instant delivery has become a fundamental service in people's daily lives. Different from the traditional express service, the instant delivery has a strict shipping time constraint after being ordered. However, t...
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